Dataset for: Detection versus Discrimination: The Limits of Binding Accounts in Action Control

DOI

Dataset for: Schöpper, L., Hilchey, M.D., Lappe, M. et al. Detection versus discrimination: The limits of binding accounts in action control. Atten Percept Psychophys 82, 2085–2097 (2020). https://doi.org/10.3758/s13414-019-01911-4

Dataset for the study "Detection versus Discrimination: The Limits of Binding Accounts in Action Control", to-be-published in Attention, Perception, & Psychophysics. For further information please refer to the aforementioned paper. The aggregated data files can be analyzed by using the respective SPSS-Syntax available under "Code for: Detection versus Discrimination: The Limits of Binding Accounts in Action Control" to perform the analysis reported in the paper.

Actions can be investigated by using sequential priming tasks, in which participants respond to prime and probe targets (sometimes accompanied by distractors). Facilitation and interference from prime to probe are measured by repeating, changing, or partially repeating features or responses between prime and probe. According to the action control literature, feature-feature or feature-response bindings are universal and apply for all actions. The attentional orienting literature, however, suggests that if the task is to detect stimuli, such binding effects may be absent. In two experiments, we compared performance in a discrimination task and a detection task with the exact same perceptual setup of prime-probe sequences. For the discrimination task, we replicated the typical feature-response binding pattern. Crucially, we did not observe any binding effects for the detection task, which can be explained by task-specific processes or fast response execution. These results reveal an important boundary of current binding models in action control.

Identifier
DOI https://doi.org/10.23668/psycharchives.2630
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.2630
Provenance
Creator Schöpper, Lars-Michael; Hilchey, Matthew D.; Lappe, Markus; Frings, Christian
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2019
Rights CC-BY-SA 4.0; openAccess; Creative Commons Attribution Share Alike 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences